Python AI/ML Engineer

Secunetics is a leader in IT infrastructure assessment, design, and optimization. We are a focused team of enthusiastic colleagues working together on a diverse and challenging set of projects. We're excited to bring on new talent and are seeking a Python AI/ML Data Engineer to join our team. In this role, you'll work on a range of projects involving data to support AI-powered solutions. We value creative, strategic thinkers with a strong interest in data engineering, software development, and AI/ML. United States citizens and those authorized to work in the United States are encouraged to apply.

Who you are:

• You are passionate and curious about technology and AI

• You are eager to learn about the full software/data development lifecycle

• You are excited to work with a team to learn and grow in your field

• You have an eye for detail and consistency

• You have strong communication skills (listening, verbal, and written)

• You enjoy working in a collaborative environment

• You are able to pass a background check for U.S. government security clearance

We're looking for a motivated individual who is eager to apply existing knowledge, learn new skills, and develop mastery in the following areas:

• Deploying and managing data pipeline orchestration tools such as Dagster

• Developing ETL/ELT pipelines with data engineering technologies

• Designing and maintaining high-performance databases

• Participating in the development of applications using Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) technologies

• Developing Python-based data analysis and transformation with Python libraries such as NumPy and pandas

• Contributing to the development and consumption of RESTful APIs

• Developing automated unit tests

• Applying data security best practices

• Applying problem-solving skills to analyze situations and identify potential issues

Preference will be given to candidates with the following:

• Prior academic or work experience related to the above topics

• Exposure to cloud-based platforms, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS)

• Basic understanding of networking and security concepts

• Familiarity with containerization (e.g., Docker, Kubernetes)

• Basic knowledge of web UI/UX design and development with JavaScript

• Undergraduate or graduate degree in Computer Science or a related field